Technical Reports - Query Results

Various methods have been proposed for detecting the onset times of musical
notes in audio signals. We examine recent work on onset detection using
spectral features such as the magnitude, phase and complex domain
representations, and propose improvements to these methods:
a weighted phase deviation function and a half-wave rectified complex
difference. These new algorithms are compared with several state-of-the-art
algorithms from the literature, and these are tested using a standard data
set of short excerpts from a range of instruments (1060 onsets), plus a much
larger data set of piano music (106054 onsets).
Some of the results contradict previously published results and suggest that
a similarly high level of performance can be obtained with a magnitude-based
(spectral flux), a phase-based (weighted phase deviation) or a complex domain
(complex difference) onset detection function.

Keywords: Music, Audio content extraction

Citation: Proceedings of the 9th International Conference on Digital Audio Effects